LUMEN 发表于 2025-3-23 11:44:46

Cohort Intelligence: A Socio-inspired Optimization Method

Exterior 发表于 2025-3-23 17:34:32

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歌曲 发表于 2025-3-23 19:54:27

Andreas Weyland,Florian Jelschenan communicate with one another either directly or indirectly. The techniques such as Particle Swarm Optimization (PSO) is inspired from the social behavior of bird flocking and school of fish searching for food.

NAG 发表于 2025-3-23 23:04:10

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Control-Group 发表于 2025-3-24 02:57:28

https://doi.org/10.1007/978-3-662-45148-9iciency, utilization with minimum initial investment and operational cost of various household as well as industrial equipments and machineries. To set a record in a race, for example, the aim is to do the fastest (shortest time).

减去 发表于 2025-3-24 08:46:24

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Gum-Disease 发表于 2025-3-24 14:08:54

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尊重 发表于 2025-3-24 17:04:27

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信徒 发表于 2025-3-24 20:22:22

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泄露 发表于 2025-3-25 02:05:46

,Solution to 0–1 Knapsack Problem Using Cohort Intelligence Algorithm,chapter further tests the ability of CI by solving an NP-hard combinatorial problem such as Knapsack Problem (KP). Several cases of the 0–1 KP are solved. The effect of various parameters on the solution quality has been discussed. The advantages and limitations of the CI methodology are also discussed.
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查看完整版本: Titlebook: Cohort Intelligence: A Socio-inspired Optimization Method; Anand Jayant Kulkarni,Ganesh Krishnasamy,Ajith Abr Book 2017 Springer Internati